“2022-02-28”版本间的差异

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第17行: 第17行:
 
|Yunqi Cai
 
|Yunqi Cai
 
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*NCFS project
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* NCFS project
 
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第27行: 第27行:
 
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|Lantian Li
 
|Lantian Li
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* Push CNCSRC (Update Sunine)
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* Finish ASVSpoof response
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* Polish C-P Map
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* Odyssey paper
 
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第50行: 第52行:
 
|Haoran Sun
 
|Haoran Sun
 
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* Autovc debug
 
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* AutoVC with adversarial training
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* odyssey paper
 
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第61行: 第64行:
 
|Chen Chen
 
|Chen Chen
 
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* Review papers about lip-reading & audio-visual speech recognization
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* Done: Prepare data & environment for experiments of AV-HuBERT
 
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* Review papers about lip-reading & audio-visual speech recognization
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* Do experimrnts of AV-HuBERT
 
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第72行: 第77行:
 
|Pengqi Li
 
|Pengqi Li
 
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* Verify the reliability of visualization methods on small data models
 
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* Experiment and analyze visualization methods on big data model
 
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第93行: 第98行:
 
|Zixi Yan
 
|Zixi Yan
 
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* Asr experiments on different layers of multilingual W2V model
 
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第103行: 第108行:
 
|Sirui Li
 
|Sirui Li
 
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* Find and learn the mose system
 
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* Train and test the mose system
 
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第114行: 第119行:
 
|Haoyu Jiang
 
|Haoyu Jiang
 
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* Train the CN-Celeb baseline
 
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* Go on training
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* Prepare data
 
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第125行: 第131行:
 
|Ruihai Hou
 
|Ruihai Hou
 
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* finish speaker diarization interface and generate diarization figure
 
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2022年3月6日 (日) 13:53的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Investigation on IB/VC
  • Odyssey paper
  • Odyssey paper
Yunqi Cai
  • NCFS project
Lantian Li
  • Push CNCSRC (Update Sunine)
  • Finish ASVSpoof response
  • Polish C-P Map
  • Odyssey paper
Ying Shi
Haoran Sun
  • Autovc debug
  • AutoVC with adversarial training
  • odyssey paper
Chen Chen
  • Review papers about lip-reading & audio-visual speech recognization
  • Done: Prepare data & environment for experiments of AV-HuBERT
  • Review papers about lip-reading & audio-visual speech recognization
  • Do experimrnts of AV-HuBERT
Pengqi Li
  • Verify the reliability of visualization methods on small data models
  • Experiment and analyze visualization methods on big data model
Weida Liang
Zixi Yan
  • Asr experiments on different layers of multilingual W2V model
Sirui Li
  • Find and learn the mose system
  • Train and test the mose system
Haoyu Jiang
  • Train the CN-Celeb baseline
  • Go on training
  • Prepare data
Ruihai Hou
  • finish speaker diarization interface and generate diarization figure
Renmiao Chen
  • test and adjust single-modality modal
  • learn and use decoupled PLDA for cross-modal test